The population density in Puerto Rico was 363.03 people in 2022. Between 1961 and 2022, the population density rose by 92.49 people, though the increase followed an uneven trajectory rather than a consistent upward trend.

Historical dataset showing Puerto Rico population density by year from 1961 to 2022.

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Puerto Rico: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).

Puerto Rico: Population density, in people per sq. mile: The latest value from is people per sq. mile, unavailable from people per sq. mile in . In comparison, the world average is 0 people per sq. mile, based on data from countries. Historically, the average for Puerto Rico from to is people per sq. mile. The minimum value, people per sq. mile, was reached in while the maximum of people per sq. mile was recorded in .

Context

Population density map of Puerto Rico. This is a cropped version of the GPWv411: Basic Demographic Characteristics (Gridded Population of the World Version 4.11) dataset.

This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) System (MTS). The MTS represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity and were defined by local participants as part of the 2020 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined because of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division or incorporated place boundaries in some states and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard Census Bureau geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous.

Comprehensive socio-economic dataset for Puerto Rico including population demographics, economic indicators, geographic data, and social statistics. This dataset covers key metrics such as GDP, population density, area, capital city, and regional classifications.

U.S. Census Tracts represents the U.S. Census tracts of the United States in the 50 states, the District of Columbia, and Puerto Rico.

Context

Raster file showing the population density In Puerto Rico in 2020

Content

The data come from this paper

This layer shows Population. This is shown by state and county boundaries. This service contains the 2018-2022 release of data from the American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. This layer is symbolized to show the point by Population Density and size of the point by Total Population. The size of the symbol represents the total count of housing units. Population Density was calculated based on the total population and area of land fields, which both came from the U.S. Census Bureau. Formula used for Calculating the Pop Density (B01001_001E/GEO_LAND_AREA_SQ_KM). To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2018-2022ACS Table(s): B01001, B09020Data downloaded from: Census Bureau's API for American Community Survey Date of API call: January 18, 2024National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:Boundaries come from the Cartographic Boundaries via US Census TIGER geodatabases. Boundaries are updated at the same time as the data updates, and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines clipped for cartographic purposes. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto Rico. The Counties (and equivalent) layer contains 3221 records - all counties and equivalent, Washington D.C., and Puerto Rico municipios. See Areas Published. Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells.Margin of error (MOE) values of -555555555 in the API (or "*****" (five asterisks) on data.census.gov) are displayed as 0 in this dataset. The estimates associated with these MOEs have been controlled to independent counts in the ACS weighting and have zero sampling error. So, the MOEs are effectively zeroes, and are treated as zeroes in MOE calculations. Other negative values on the API, such as -222222222, -666666666, -888888888, and -999999999, all represent estimates or MOEs that can't be calculated or can't be published, usually due to small sample sizes. All of these are rendered in this dataset as null (blank) values.

U.S. Census Block Groups represents the U.S. Census block groups of the United States in the 50 states, the District of Columbia, and Puerto Rico.

The Latin America and the Caribbean Population Time Series data set provides total population estimates using spatially consistent and comparable units for Latin American municipalities or equivalent administrative units for the years 1990 and 2000. The data set consists of two vector polygon layers: one layer displays population estimates for subnational administrative units in 1990 and 2000, including population counts, density, and percent change, at the municipality level or equivalent (level 2); a second layer summarizes this information at the country level (level 0). To describe changing population distribution and growth in Latin America and the Caribbean using spatially consistent and comparable units at a spatial resolution suitable to regional change analysis.

Purpose of the Caribbean Ecoregional Assessment for Puerto Rico*Puerto Rico has a well-established protected areas system safeguarding good examples of tropical ecological systems that have survived human interference. Many fine studies by professional biologists and ecologists have contributed to a solid scientific infrastructure supporting biodiversity conservation in Puerto Rico. The Nature Conservancy, whose mission is conserving the Earth's biodiversity, promotes a science-based planning process to identify a network of conservation areas with a vision to protect 10% of representative major habitat types of the world. Since the initiation of the Caribbean Ecoregional Assessment Project in 2003, the Conservancy has been gathering biodiversity and socio-economic information relevant to conservation areas design. The major goal of the Project is to design a network of landscapes and seascapes that will protect Caribbean biodiversity over the long term. Puerto Rico's rich natural diversity and solid scientific infrastructure were the reasons that the Commonwealth was chosen as a pilot study area for developing and testing nuanced methods and tools before applying them to other parts of the Project area.The general ecoregional assessment process applied to the Puerto Rican pilot study includes (1) identifying and mapping conservation targets; (2) assessing targets' ecological condition and impacts of human activities on targets; (3) setting conservation goals; (4) delineating a network of priority conservation areas; and (5) identifying gaps of biodiversity conservation in the current protected areas system-gap analysis. The purpose is to meet the following general conservation goals: protecting examples of all native ecosystem types across their environmental gradients; maintaining viable populations of all native species in natural patterns of abundance and distribution; and sustaining ecological and evolutionary processes, such as natural disturbance regimes, hydrological processes, nutrient cycles and biotic interactions. Mapping biodiversity provides the basis for conservation decision making (Richard Jeo, new info sheet, e-mail of 9/14/2004). We identified and mapped a range of coarse filter targets at the level of ecological systems using combinations of biophysical factors-climate, geology and elevation. We have also assessed the human impact on the condition of targets and mapped the relative intensity of instances of human activities.Biodiversity and socio-economic information on Puerto Rico has been collected and entered into a database that will be made freely available to interested stakeholders via the internet (with the exception of sensitive or proprietary information). The information will be organized so that new data can be easily incorporated and maintained in a central location by The Nature Conservancy. The Puerto Rico Ecoregional Assessment Project has so far gathered the following terrestrial info:. Conservation target maps- historical and current extent of areas with vegetation. Protected area maps (spatial extent and management type). Industrial agriculture maps (type and intensity). Tourism zones and a database of hotels (location and number of rooms). Urbanized areas, population density and projected population growth rate*For more detailed information, please read the CARIBBEAN ECOREGIONAL ASSESSMENT - PUERTO RICO by Shirley Keel, et al. https://conserveonline.org/docs/2005/09/PuertoRicoTerrERAMay05.pdf

Global Population of the World (GPW) translates census population data to a latitude-longitude grid so that population data may be used in cross-disciplinary studies. There are three data files with this data set for the reference years 1990 and 1995. Over 127,000 administrative units and population counts were collected and integrated from various sources to create the gridded data. In brief, GPW was created using the following steps:

* Population data were estimated for the product reference years, 1990 and 1995, either by the data source or by interpolating or extrapolating the given estimates for other years.
* Additional population estimates were created by adjusting the source population data to match UN national population estimates for the reference years.
* Borders and coastlines of the spatial data were matched to the Digital Chart of the World where appropriate and lakes from the Digital Chart of the World were added.
* The resulting data were then transformed into grids of UN-adjusted and unadjusted population counts for the reference years.
* Grids containing the area of administrative boundary data in each cell (net of lakes) were created and used with the count grids to produce population densities.

As with any global data set based on multiple data sources, the spatial and attribute precision of GPW is variable. The level of detail and accuracy, both in time and space, vary among the countries for which data were obtained.

Adult mosquitoes were sampled using BG Sentinel 2 traps baited with BG scented lures and CDC mini light traps baited with carbon dioxide (dry ice) set in the San Juan Metropolitan Area, Puerto Rico in 2018 and 2019. Mosquitoes were identified using morphological keys. A more indepth description of the methods can be found in Scavo et al., 2021 (citation above).

Purpose of the Caribbean Ecoregional Assessment for Puerto Rico*Puerto Rico has a well-established protected areas system safeguarding good examples of tropical ecological systems that have survived human interference. Many fine studies by professional biologists and ecologists have contributed to a solid scientific infrastructure supporting biodiversity conservation in Puerto Rico. The Nature Conservancy, whose mission is conserving the Earth's biodiversity, promotes a science-based planning process to identify a network of conservation areas with a vision to protect 10% of representative major habitat types of the world. Since the initiation of the Caribbean Ecoregional Assessment Project in 2003, the Conservancy has been gathering biodiversity and socio-economic information relevant to conservation areas design. The major goal of the Project is to design a network of landscapes and seascapes that will protect Caribbean biodiversity over the long term. Puerto Rico's rich natural diversity and solid scientific infrastructure were the reasons that the Commonwealth was chosen as a pilot study area for developing and testing nuanced methods and tools before applying them to other parts of the Project area.The general ecoregional assessment process applied to the Puerto Rican pilot study includes (1) identifying and mapping conservation targets; (2) assessing targets' ecological condition and impacts of human activities on targets; (3) setting conservation goals; (4) delineating a network of priority conservation areas; and (5) identifying gaps of biodiversity conservation in the current protected areas system-gap analysis. The purpose is to meet the following general conservation goals: protecting examples of all native ecosystem types across their environmental gradients; maintaining viable populations of all native species in natural patterns of abundance and distribution; and sustaining ecological and evolutionary processes, such as natural disturbance regimes, hydrological processes, nutrient cycles and biotic interactions. Mapping biodiversity provides the basis for conservation decision making (Richard Jeo, new info sheet, e-mail of 9/14/2004). We identified and mapped a range of coarse filter targets at the level of ecological systems using combinations of biophysical factors-climate, geology and elevation. We have also assessed the human impact on the condition of targets and mapped the relative intensity of instances of human activities.Biodiversity and socio-economic information on Puerto Rico has been collected and entered into a database that will be made freely available to interested stakeholders via the internet (with the exception of sensitive or proprietary information). The information will be organized so that new data can be easily incorporated and maintained in a central location by The Nature Conservancy. The Puerto Rico Ecoregional Assessment Project has so far gathered the following terrestrial info:. Conservation target maps- historical and current extent of areas with vegetation. Protected area maps (spatial extent and management type). Industrial agriculture maps (type and intensity). Tourism zones and a database of hotels (location and number of rooms). Urbanized areas, population density and projected population growth rate*For more detailed information, please read the CARIBBEAN ECOREGIONAL ASSESSMENT - PUERTO RICO by Shirley Keel, et al. https://conserveonline.org/docs/2005/09/PuertoRicoTerrERAMay05.pdf

Context

After observing many naive conversations about COVID-19, claiming that the pandemic can be blamed on just a few factors, I decided to create a data set, to map a number of different data points to every U.S. state (including D.C. and Puerto Rico).

Content

This data set contains basic COVID-19 information about each state, such as total population, total COVID-19 cases, cases per capita, COVID-19 deaths and death rate, Mask mandate start, and end dates, mask mandate duration (in days), and vaccination rates.

However, when evaluating a pandemic (specifically a respiratory virus) it would be wise to also explore the population density of each state, which is also included. For those interested, I also included political party affiliation for each state ("D" for Democrat, "R" for Republican, and "I" for Puerto Rico). Vaccination rates are split into 1-dose and 2-dose rates.

Also included is data ranking the Well-Being Index and Social Determinantes of Health Index for each state (2019). There are also several other columns that "rank" states, such as ranking total cases per state (ascending), total cases per capita per state (ascending), population density rank (ascending), and 2-dose vaccine rate rank (ascending). There are also columns that compare deviation between columns: case count rank vs population density rank (negative numbers indicate that a state has more COVID-19 cases, despite being lower in population density, while positive numbers indicate the opposite), as well as per-capita case count vs density.

Acknowledgements

Several Statista Sources: * COVID-19 Cases in the US * Population Density of US States * COVID-19 Cases in the US per-capita * COVID-19 Vaccination Rates by State

Other sources I'd like to acknowledge: * Ballotpedia * DC Policy Center * Sharecare Well-Being Index * USA Facts * World Population Overview

Inspiration

I would like to see if any new insights could be made about this pandemic, where states failed, or if these case numbers are 100% expected for each state.

Abstract

The World Values Survey (www.worldvaluessurvey.org) is a global network of social scientists studying changing values and their impact on social and political life, led by an international team of scholars, with the WVS association and secretariat headquartered in Stockholm, Sweden. The survey, which started in 1981, seeks to use the most rigorous, high-quality research designs in each country. The WVS consists of nationally representative surveys conducted in almost 100 countries which contain almost 90 percent of the world’s population, using a common questionnaire. The WVS is the largest non-commercial, cross-national, time series investigation of human beliefs and values ever executed, currently including interviews with almost 400,000 respondents. Moreover the WVS is the only academic study covering the full range of global variations, from very poor to very rich countries, in all of the world’s major cultural zones. The WVS seeks to help scientists and policy makers understand changes in the beliefs, values and motivations of people throughout the world. Thousands of political scientists, sociologists, social psychologists, anthropologists and economists have used these data to analyze such topics as economic development, democratization, religion, gender equality, social capital, and subjective well-being. These data have also been widely used by government officials, journalists and students, and groups at the World Bank have analyzed the linkages between cultural factors and economic development.

Geographic coverage

This survey covers Puerto Rico.

Analysis unit

• Household
• Individual

Universe

The WVS for Puerto Rico covers national population, aged 18 years and over, for both sexes.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample was designed to be representative of the entire adult population, i.e. 18 years and older, of your country. The lower age cut-off for the sample was 18 and there was not an upper age cut-off for the sample. 1,164 questionnaires were effectively administered among able persons 18 years old and older, using the Kish selection method in each household (date of next birthday) and planning up to two more visits in different time schedules or by previous appointment in order to reach the selected person. The obtained sample was similar to the population universe in educational, economic and demographic terms, according to the data provided by the Federal Census Bureau and the Commonwealth Planning Board.

The questionnaires were administered in a face to face basis using a structured random sample model in three stages (multi-stage structured random sample). First, all Puerto Rican towns and cities were organized and classified according to their geographical position and population density. Accordingly, the Island was divided in six sections: north, south, central highlands, east, west and San Juan metropolitan region. Three towns or cities were randomly selected in each section. Second, all residential communities in each of the selected towns or citieswere classified in three socio-educational categories (upper, middle and low) using schooling and family income data from the last population census of 1990, and one community was randomly selected in each category. In a third stage, after conducting a thorough "block listing process" in which commercial and inhabited residences were crossed out, random samples were conducted among the households in each selected community using a criterion of p.01, for a total sample of 1,650 (intended contacts). The sample size is N=1164.

Mode of data collection

Face-to-face [f2f]

Research instrument

The WVS questionnaire was in Spanish. Some special variable labels have been included, such as: V56 Neighbours: North American and V149 Institution: NAFTA o TLC. Special categories labels are: V 179 Least liked groups and V203/ V204: Geographical affinity. Country Specific variables included are: V208: Ethnic identification; V209 Language at home; The variables political parties V210 a V212; Ethic group: V 233 and Region: V 234 are also included as country specific variables. The V 206 Born in this country is also different in Puerto Rico.

Sampling error estimates

+/- 2,9%

The EnviroAtlas Intelligent Dasymetric Mapping (IDM) Toolbox1 was used to generate these data. Dasymetric mapping is a geospatial technique that uses information such as land use and land cover to distribute population counts from irregularly shaped and sized source units (e.g., census blocks) to a standard grid while maintaining the population totals within each of the original source units. For this effort, open water, ice/snow, and emergent wetlands were considered uninhabitable. Furthermore, available ancillary datasets relevant to human land use were used to identify additional areas as uninhabited (e.g., cemeteries, commercial property, transportation corridors). This map is available for the conterminous United States, Alaska, Hawaii, Puerto Rico, and the U.S. Virgin Islands. Various land cover datasets were used for different states and territories. Conterminous United States - 2019 National Land Cover Dataset Alaska – 2016 National Land Cover Dataset Hawaii – 2011 NOAA High Resolution Land Cover were reclassified and resampled to match National Land Cover Dataset Puerto Rico and U.S. Virgin Islands - U.S. Forest Service Landscape Monitoring System 2020 Land Use data

Using the IDM Toolbox, along with land cover, land use, and 2020 U.S. Census block counts, population densities were determined for each 30 m pixel by U.S. State and Territory. Because Rhode Island and Washington, D.C were not large enough to accurately calculate separately, they were combined with Massachusetts and Maryland, respectively. A complete description of the methods and ancillary datasets used to develop this work is described in the full metadata and the journal article:Baynes, J., A. Neale, and T. Hultgren. 2022. Improving intelligent dasymetric mapping population density estimates at 30 m resolution for the conterminous United States by excluding uninhabited areas. Earth System Science Data 14(6): 2833–2849. https://doi.org/10.5194/essd-14-2833-2022.

This is an EnviroAtlas (https://www.epa.gov/enviroatlas) web service supporting research, education, and decision-making. EnviroAtlas includes a user-friendly interactive map for data discovery, https://enviroatlas.epa.gov/enviroatlas/interactivemap. Access Data Fact Sheet: Fact Sheet Access Full Metadata: Conterminous US | Alaska | Hawaii | Puerto Rico | US Virgin Islands Access Web ServiceDownload GeoTIFF: Conterminous US | Alaska | Hawaii | Puerto Rico | US Virgin Islands To cite these data, please use this format: United States Environmental Protection Agency. EnviroAtlas. 2020 Dasymetric Population for the Conterminous United States, Alaska, Hawaii, Puerto Rico, and the US Virgin Islands. Accessed: [Month, Day, Year] from https://www.epa.gov/enviroatlas or cite Baynes et. al. Please contact us with any questions! 1 Information about the IDM toolbox is available at https://www.epa.gov/enviroatlas/dasymetric-toolbox. Code for the IDM toolbox is maintained in two GitHub repositories [IDM Toolbox for ArcGIS Pro] [IDM Toolbox for Open-Source GIS].

This datalayer displays the Urbanized Areas (UAs) for the state based on a January 1, 1990 ground condition. Note that the Census Bureau made significant changes in Urban/Rural designations for the Census 2000 data layers. Some of these delineations and definitions are explained below. 1990 Urban/Rural The U.S. Census Bureau defined urban for the 1990 census as consisting of all territory and population in urbanized areas (UAs) and in the urban portion of places with 2,500 or more people located outside of the UAs. The 1990 urban and rural classification applied to the 50 states, the District of Columbia, and Puerto Rico. 1990 Urbanized Areas A 1990 urbanized area (UA) consisted of at least one central place and the adjacent densely settled surrounding territory that together had a minimum population of 50,000 people. The densely settled surrounding territory generally consisted of an area with continuous residential development and a general overall population density of at least 1,000 people per square mile. 1990 Extended Cities For the 1990 census, the U.S. Census Bureau distinguished the urban and rural population within incorporated places whose boundaries contained large, sparsely populated, or even unpopulated area. Under the 1990 criteria, an extended city had to contain either 25 percent of the total land area or at least 25 square miles with an overall population density lower than 100 people per square mile. Such pieces of territory had to cover at least 5 square miles. This low-density area was classified as rural and the other, more densely settled portion of the incorporated place was classified as urban. Unlike previous censuses where the U.S. Census Bureau defined extended cities only within UAs, for the 1990 census the U.S. Census Bureau applied the extended city criteria to qualifying incorporated places located outside UAs. 1990 Urbanized Area Codes Each 1990 UA was assigned a 4-digit numeric census code in alphabetical sequence on a nationwide basis based on the metropolitan area codes. Note that in Record Type C, the 1990 UA 4-digit numeric censu s code and Census 2000 UA 5-digit numeric census code share a 5-character field. Because of this, the 1990 4-digit UA code, in Record Type C only, appears with a trailing blank. For Census 2000 the U.S. Census Bureau classifies as urban all territory, population, and housing units located within urbanized areas (UAs) and urban clusters (UCs). It delineates UA and UC boundaries to encompass densely settled territory, which generally consists of: - A cluster of one or more block groups or census blocks each of which has a population density of at least 1,000 people per square mile at the time - Surrounding block groups and census blocks each of which has a population density of at least 500 people per square mile at the time, and - Less densely settled blocks that form enclaves or indentations, or are used to connect discontiguous areas with qualifying densities. Rural consists of all territory, population, and housing units located outside of UAs and UCs. For Census 2000 this urban and rural classification applies to the 50 states, the District of Columbia, Puerto Rico, American Samoa, Guam, the Northern Mariana Islands, and the Virgin Islands of the United States. Urbanized Areas (UAs) An urbanized area consists of densely settled territory that contains 50,000 or more people. The U.S. Census Bureau delineates UAs to provide a better separation of urban and rural territory, population, and housing in the vicinity of large places. For Census 2000, the UA criteria were extensively revised and the delineations were performed using a zero-based approach. Because of more stringent density requirements, some territory that was classified as urbanized for the 1990 census has been reclassified as rural. (Area that was part of a 1990 UA has not been automatically grandfathered into the 2000 UA.) In addition, some areas that were identified as UAs for the 1990 census have been reclassified as urban clusters. Urban Clusters (UCs) An urban cluster consists of densely settled territory that has at least 2,500 people but fewer than 50,000 people. The U.S. Census Bureau introduced the UC for Census 2000 to provide a more consistent and accurate measure of the population concentration in and around places. UCs are defined using the same criteria that are used to define UAs. UCs replace the provision in the 1990 and previous censuses that defined as urban only those places with 2,500 or more people located outside of urbanized areas. Urban Area Title and Code The title of each UA and UC may contain up to three incorporated place names, and will include the two-letter U.S. Postal Service abbreviation for each state into which the UA or UC extends. However, if the UA or UC does not contain an incorporated place, the urban area title will include the single name of a census designated place (CDP), minor civil division, or populated place recognized by the U.S. Geological Survey's Geographic Names Information System. Each UC and UA is assigned a 5-digit numeric code, based on a national alphabetical sequence of all urban area names. For the 1990 census, the U.S. Census Bureau assigned as four-digit UA code based on the metropolitan area codes. Urban Area Central Places A central place functions as the dominant center of an urban area. The U.S. Census Bureau identifies one or more central places for each UA or UC that contains a place. Any incorporated place or census designated place (CDP) that is in the title of the urban area is a central place of that UA or UC. In addition, any other incorporated place or CDP that has an urban population of 50,000 or an urban population of at least 2,500 people and is at least 2/3 the size of the largest place within the urban area also is a central place. Extended Places As a result of the UA and UC delineations, an incorporated place or census designated place (CDP) may be partially within and partially outside of a UA or UC. Any place that is split by a UA or UC is referred to as an extended place.